Risk prediction of mortality for patients with heart failure in England: observational study in primary care.

ABSTRACT:

Aims

Many risk prediction models have been proposed for heart failure (HF), but few studies have used only information available to general practitioners (GPs) in primary care electronic health records (EHRs). We describe the predictors and performance of models built from GP-based EHRs in two cohorts of patients 10 years apart.

Methods and results

Linked primary and secondary care data for incident HF cases in England were extracted from the Clinical Practice Research Datalink for 2001-02 and 2011-12. Time-to-event models for all-cause mortality were developed using a long list of potential baseline predictors. Discrimination and calibration were calculated. A total of 5966 patients in 156 general practices were diagnosed in 2001-02, and 12 827 patients in 331 practices wer

SUBMITTER: Bottle A 

PROVIDER: S-EPMC10053260 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature